Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, WI, USA.
Office of Applied Science, Wisconsin Department of Natural Resources, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, USA.
Mol Ecol Resour. 2020 Nov;20(6):1706-1722. doi: 10.1111/1755-0998.13226. Epub 2020 Aug 4.
Targeted amplicon sequencing methods, such as genotyping-in-thousands by sequencing (GT-seq), facilitate rapid, accurate, and cost-effective analysis of hundreds of genetic loci in thousands of individuals. Development of GT-seq panels is nontrivial, but studies describing trade-offs associated with different steps of GT-seq panel development are rare. Here, we construct a dual-purpose GT-seq panel for walleye (Sander vitreus), discuss trade-offs associated with different development and genotyping approaches, and provide suggestions for researchers constructing their own GT-seq panels. Our GT-seq panel was developed using an ascertainment set consisting of restriction site-associated DNA data from 954 individuals sampled from 23 populations in Minnesota and Wisconsin, USA. We conducted simulations to test the utility of all loci for parentage analysis and genetic stock identification and designed 600 primer pairs to maximize joint accuracy for these analyses. We then performed three rounds of primer optimization to remove loci that overamplified and our final panel consisted of 436 loci. We also explored different approaches for DNA extraction, multiplexed polymerase chain reaction (PCR) amplification, and cleanup steps during the GT-seq process and discovered the following: (i) inexpensive Chelex extractions performed well for genotyping; (ii) the exonuclease I and shrimp alkaline phosphatase (ExoSAP) procedure included in some current protocols did not improve results substantially and was probably unnecessary; and (iii) it was possible to PCR amplify panels separately and combine them prior to adapter ligation. Well-optimized GT-seq panels are valuable resources for conservation genetics and our findings and suggestions should aid in their construction in myriad taxa.
靶向扩增子测序方法,如测序基因型分析(GT-seq),可实现对数千个体中数百个遗传位点的快速、准确和具有成本效益的分析。GT-seq 面板的开发并非易事,但描述 GT-seq 面板开发不同步骤相关权衡的研究很少。在这里,我们构建了一个用于黄鲈(Sander vitreus)的双重用途 GT-seq 面板,讨论了与 GT-seq 面板开发的不同步骤相关的权衡,并为构建自己的 GT-seq 面板的研究人员提供了建议。我们的 GT-seq 面板是使用一个由来自美国明尼苏达州和威斯康星州的 23 个种群的 954 个个体的限制性位点相关 DNA 数据组成的确定集开发的。我们进行了模拟测试,以检验所有位点在亲子分析和遗传种群鉴定中的效用,并设计了 600 对引物,以最大限度地提高这些分析的联合准确性。然后,我们进行了三轮引物优化,以去除过度扩增的位点,最终的面板包含 436 个位点。我们还探索了在 GT-seq 过程中不同的 DNA 提取、多重聚合酶链反应(PCR)扩增和清洗步骤的方法,发现:(i)用于基因分型的廉价 Chelex 提取效果良好;(ii)某些当前方案中包含的核酸外切酶 I 和虾碱性磷酸酶(ExoSAP)步骤并没有显著改善结果,可能是不必要的;(iii)可以分别对 PCR 扩增面板,并在连接适配器之前将它们组合在一起。经过良好优化的 GT-seq 面板是保护遗传学的宝贵资源,我们的研究结果和建议应该有助于在众多分类群中构建它们。